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Young Adults View Smartphone Tracking Technologies for COVID-19 as Acceptable: The Case of Taiwan

Author

Listed:
  • Paul M. Garrett

    (School of Psychology, University of Melbourne, Melbourne 3010, Australia)

  • YuWen Wang

    (Department of Psychology, National Cheng Kung University, Tainan 701, Taiwan)

  • Joshua P. White

    (School of Psychology, University of Melbourne, Melbourne 3010, Australia)

  • Shulan Hsieh

    (Department of Psychology, National Cheng Kung University, Tainan 701, Taiwan
    Institute of Allied Health Sciences, National Cheng Kung University, Tainan 701, Taiwan
    Department of Public Health, National Cheng Kung University, Tainan 701, Taiwan)

  • Carol Strong

    (Department of Public Health, National Cheng Kung University, Tainan 701, Taiwan)

  • Yi-Chan Lee

    (Department of Otolaryngology - Head and Neck Surgery, Chang Gung Memorial Hospital, Keelung 114, Taiwan)

  • Stephan Lewandowsky

    (School of Psychology, The University of Bristol, Bristol BS8 1TU, UK)

  • Simon Dennis

    (School of Psychology, University of Melbourne, Melbourne 3010, Australia
    Unforgettable Research Services, Melbourne 3010, Australia)

  • Cheng-Ta Yang

    (Department of Psychology, National Cheng Kung University, Tainan 701, Taiwan
    Institute of Allied Health Sciences, National Cheng Kung University, Tainan 701, Taiwan)

Abstract

Taiwan has been successful in controlling the spread of SARS-CoV-2 during the COVID-19 pandemic; however, without a vaccine the threat of a second outbreak remains. Young adults who show few to no symptoms when infected have been identified in many countries as driving the virus’ spread through unidentifiable community transmission. Mobile tracking technologies register nearby contacts of a user and notifies them if one later tests positive to the virus, potentially solving this issue; however, the effectiveness of these technologies depends on their acceptance by the public. The current study assessed attitudes towards three tracking technologies (telecommunication network tracking, a government app, and Apple and Google’s Bluetooth exposure notification system) among four samples of young Taiwanese adults (aged 25 years or younger). Using Bayesian methods, we find high acceptance for all three tracking technologies (>75%), with acceptance for each technology surpassing 90% if additional privacy measures were included. We consider the policy implications of these results for Taiwan and similar cultures.

Suggested Citation

  • Paul M. Garrett & YuWen Wang & Joshua P. White & Shulan Hsieh & Carol Strong & Yi-Chan Lee & Stephan Lewandowsky & Simon Dennis & Cheng-Ta Yang, 2021. "Young Adults View Smartphone Tracking Technologies for COVID-19 as Acceptable: The Case of Taiwan," IJERPH, MDPI, vol. 18(3), pages 1-18, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1332-:d:491536
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    References listed on IDEAS

    as
    1. Wang, Tien & Duong, Trong Danh & Chen, Charlie C., 2016. "Intention to disclose personal information via mobile applications: A privacy calculus perspective," International Journal of Information Management, Elsevier, vol. 36(4), pages 531-542.
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    3. Martin, Andrew D. & Quinn, Kevin M. & Park, Jong Hee, 2011. "MCMCpack: Markov Chain Monte Carlo in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i09).
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    Cited by:

    1. Paul M. Garrett & Yu-Wen Wang & Joshua P. White & Yoshihsa Kashima & Simon Dennis & Cheng-Ta Yang, 2022. "High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    2. Dmitry V. Boguslavsky & Natalia P. Sharova & Konstantin S. Sharov, 2022. "Public Policy Measures to Increase Anti-SARS-CoV-2 Vaccination Rate in Russia," IJERPH, MDPI, vol. 19(6), pages 1-15, March.

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